Running throughout this his chapter
is an obsession with impressive-looking ‘sciencey’ research products. (Tom
Lehrer expresses something similar http://www.youtube.com/watch?v=wX5II-BJ8hI).
Personally, I have a problem with this approach to research and find it inconsistent
with the underlying idea behind the advice that different types of questions
need different types of methods to properly address them. Similarly, certain research
projects are best addressed using different (not necessarily mathematical/quantitative
AKA Sciencey) research products. Picking up on my previous post, I think there
are many interesting questions relevant to understanding our social existence
that cannot be adequately addressed through a data-based methods. It may be a case of the chicken/egg, but I wonder
if this obsession with sciencey-looking output is a product of funding
agencies, or is inherent in the discipline, and if so how widely? Are there
different epistemic communities within “social sciences” that place more or
less emphasis on science data? If so, I would like to figure out where these
boundaries are so I can deliberately switch sides depending on what I’m
interested in at that moment.
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